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An approach towards missing data management using improved GRNN-SGTM ensemble method

Ivan Izonin,R. Tkachenko,V. Verhun,Khrystyna Zub

2020 · DOI: 10.1016/j.jestch.2020.10.005
60 Citations

TLDR

A prediction method for probable recovery of partially missing or completely lost data based on the improvement of an ensemble of two GRNNs by the additional use of extended-input SGTM neural-like structure is proposed, which has been tested for the task of completing the gaps in the real dataset reflecting air condition monitoring.